Software Engineer, Agentic AI

Working at Atlassian
Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
About the team
The Cloud Access & Intelligence (CAI) org at Atlassian focuses on AI-first solutions that simplify admin experiences, automate workflows, and enhance customer support through intelligent agents. We're pushing the boundaries of LLM-based features, prompt engineering, and AI-driven automation to tackle complex customer and admin challenges. We're a tight-knit team of ~10 engineers across Sydney and India.
What you'll do

• Build AI Agents for admins that reduce friction and boost efficiency.
• Deliver reusable AI Agent components and patterns (prompt templates, evaluation, RAG, contextual retrieval, reporting).
• Scale AI adoption across Atlassian by standardizing agent development and enabling other teams to build faster.
• Build and ship features and capabilities daily in highly scalable, cross-geo distributed environment
• Review code with best practices of readability, testing patterns, documentation, reliability, security, and performance considerations in mind
• Mentor and level up the skills of your teammates by sharing your expertise in formal and informal knowledge sharing sessions
• Ensure full visibility, error reporting, and monitoring of high performing backend services
• Participate in Agile software development including daily stand-ups, sprint planning, team retrospectives, show and tell demo sessions

Your background

• 4+ years of experience building and developing backend applications
• Bachelor's or Master's degree with a preference for a Computer Science degree
• A passionate backend engineer, eager to learn and ship impactful features
• Experience building LLM-powered systems and prompt engineering
• Familiarity with RAG pipelines, evaluation frameworks, or fine-tuning workflows
• Motivated to explore greenfield AI initiatives and learn continuously
• Experience crafting and implementing highly scalable and performant RESTful micro-services
• Proficiency in any modern object-oriented programming language (e.g., Java, Kotlin, Go, Scala, Python, etc.)
• Fluency in any one database technology (e.g. RDBMS like Oracle or Postgres and/or NoSQL like DynamoDB or Cassandra)
• Broad knowledge and understanding of SaaS, PaaS, IaaS industry with hands-on experience of public cloud offerings (AWS, GAE, Azure)
• Skilled in writing clean, maintainable, well-tested code
• Strong in debugging and problem-solving, especially across services and APIs
• Comfortable in fast-paced, Agile, collaborative environments
• Excited to take ownership of modules and deliver end-to-end

If you're excited about building scalable AI-powered systems, working with LLMs and prompt engineering, and contributing to impactful solutions that help customers and admins, we'd love to hear from you!